The COVID-19 Situation Report is a data intensive report that tries to portray an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic. If you would like to add additional metrics to this report, please send a mail to the author at .

Date of Report

Report Printed On

## [1] "2020-04-01"

COVID-19 Overall Stats (Worldwide)

Overall Confirmed Cases Count Worldwide

## [1] "932605 (up from 857487 yesterday: 8.76 % increase)"

Overall Deaths Worldwide

Please note that the deaths is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] "46809 (up from 42107 yesterday: 11.17 % increase)"

Overall Fatality Rate Worldwide in %

Please note that the fatality rate is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] 5.02



In- Depth Country Wise Stats (With Atleast 100 COVID-19 Confirmations)

Overall Confirmed Cases and Deaths- Country Wise (With Fatality Rates)

Country_Region TotalConfirmed TotalDeaths FatalityRate
US 213372 4757 2.23
Italy 110574 13155 11.90
Spain 104118 9387 9.02
China 82361 3316 4.03
Germany 77872 920 1.18
France 57749 4043 7.00
Iran 47593 3036 6.38
United Kingdom 29865 2357 7.89
Switzerland 17768 488 2.75
Turkey 15679 277 1.77
Belgium 13964 828 5.93
Netherlands 13696 1175 8.58
Austria 10711 146 1.36
Korea, South 9887 165 1.67
Canada 9560 109 1.14
Portugal 8251 187 2.27
Brazil 6836 240 3.51
Israel 6092 26 0.43
Sweden 4947 239 4.83
Norway 4863 44 0.90
Australia 4862 20 0.41
Czechia 3508 39 1.11
Ireland 3447 85 2.47
Denmark 3290 104 3.16
Chile 3031 16 0.53
Malaysia 2908 45 1.55
Russia 2777 24 0.86
Ecuador 2748 93 3.38
Poland 2554 43 1.68
Romania 2460 92 3.74
Luxembourg 2319 29 1.25
Philippines 2311 96 4.15
Japan 2178 57 2.62
Pakistan 2118 27 1.27
India 1998 58 2.90
Thailand 1771 12 0.68
Saudi Arabia 1720 16 0.93
Indonesia 1677 157 9.36
Finland 1446 17 1.18
Greece 1415 50 3.53
South Africa 1380 5 0.36
Peru 1323 38 2.87
Dominican Republic 1284 57 4.44
Iceland 1220 2 0.16
Mexico 1215 29 2.39
Panama 1181 30 2.54
Colombia 1065 17 1.60
Serbia 1060 28 2.64
Argentina 1054 28 2.66
Singapore 1000 3 0.30
Croatia 963 6 0.62
Algeria 847 58 6.85
Slovenia 841 15 1.78
Qatar 835 2 0.24
United Arab Emirates 814 8 0.98
Ukraine 794 20 2.52
Egypt 779 52 6.68
Estonia 779 5 0.64
Iraq 728 52 7.14
Diamond Princess 712 11 1.54
New Zealand 708 1 0.14
Morocco 654 39 5.96
Lithuania 581 8 1.38
Armenia 571 4 0.70
Bahrain 569 4 0.70
Hungary 525 20 3.81
Lebanon 479 14 2.92
Bosnia and Herzegovina 459 13 2.83
Latvia 446 0 0.00
Moldova 423 5 1.18
Tunisia 423 12 2.84
Bulgaria 422 10 2.37
Slovakia 400 1 0.25
Andorra 390 14 3.59
Kazakhstan 380 3 0.79
Costa Rica 375 2 0.53
Azerbaijan 359 5 1.39
North Macedonia 354 11 3.11
Uruguay 338 2 0.59
Taiwan* 329 5 1.52
Cyprus 320 9 2.81
Kuwait 317 0 0.00
Burkina Faso 282 16 5.67
Jordan 278 5 1.80
Albania 259 15 5.79
Afghanistan 237 4 1.69
San Marino 236 26 11.02
Cameroon 233 6 2.58
Vietnam 218 0 0.00
Cuba 212 6 2.83
Oman 210 1 0.48
Ghana 195 5 2.56
Cote d’Ivoire 190 1 0.53
Senegal 190 1 0.53
Malta 188 0 0.00
Uzbekistan 181 2 1.10
Nigeria 174 2 1.15
Honduras 172 10 5.81
Belarus 163 2 1.23
Mauritius 161 6 3.73
Sri Lanka 146 3 2.05
Venezuela 143 3 2.10
West Bank and Gaza 134 1 0.75
Brunei 131 1 0.76
Kosovo 125 1 0.80
Montenegro 123 2 1.63
Georgia 117 0 0.00
Bolivia 115 7 6.09
Kyrgyzstan 111 0 0.00
Cambodia 109 0 0.00
Congo (Kinshasa) 109 9 8.26

In Depth USA Stats (State Wise Figures)

Confirmed Cases and Deaths- States of USA (With Fatality Rates)

State Confirmed Deaths FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
New York 83948 1941 2.31 4315.30 99.78 1 in 232
New Jersey 22255 355 1.60 2505.58 39.97 1 in 399
California 9399 199 2.12 237.88 5.04 1 in 4204
Michigan 9315 335 3.60 932.73 33.54 1 in 1072
Massachusetts 7738 122 1.58 1113.46 17.56 1 in 898
Illinois 6980 141 2.02 550.83 11.13 1 in 1815
Florida 6956 87 1.25 323.87 4.05 1 in 3088
Louisiana 6424 273 4.25 1381.86 58.72 1 in 724
Pennsylvania 6009 74 1.23 469.38 5.78 1 in 2130
Washington 5608 234 4.17 736.45 30.73 1 in 1358
Georgia 4638 139 3.00 436.83 13.09 1 in 2289
Texas 4355 66 1.52 150.19 2.28 1 in 6658
Connecticut 3557 85 2.39 997.68 23.84 1 in 1002
Colorado 2982 69 2.31 517.82 11.98 1 in 1931
Tennessee 2933 24 0.82 429.23 3.51 1 in 2330
Indiana 2564 65 2.54 380.86 9.66 1 in 2626
Ohio 2547 65 2.55 217.90 5.56 1 in 4589
Maryland 1986 31 1.56 328.50 5.13 1 in 3044
North Carolina 1675 14 0.84 159.71 1.33 1 in 6262
Missouri 1613 18 1.12 262.81 2.93 1 in 3805
Wisconsin 1556 27 1.74 267.24 4.64 1 in 3742
Arizona 1530 29 1.90 200.92 3.81 1 in 4977
Virginia 1483 34 2.29 173.74 3.98 1 in 5756
South Carolina 1293 26 2.01 251.13 5.05 1 in 3982
Nevada 1279 31 2.42 415.24 10.06 1 in 2408
Mississippi 1073 22 2.05 360.53 7.39 1 in 2774
Alabama 1060 27 2.55 216.19 5.51 1 in 4626
Utah 888 5 0.56 276.98 1.56 1 in 3610
Oregon 736 19 2.58 174.50 4.50 1 in 5731
Oklahoma 721 30 4.16 182.21 7.58 1 in 5488
Minnesota 689 17 2.47 122.17 3.01 1 in 8185
Kentucky 632 18 2.85 141.46 4.03 1 in 7069
District of Columbia 586 9 1.54 830.32 12.75 1 in 1204
Arkansas 584 10 1.71 193.52 3.31 1 in 5168
Idaho 566 9 1.59 315.84 5.02 1 in 3166
Rhode Island 566 10 1.77 534.28 9.44 1 in 1872
Iowa 547 9 1.65 173.37 2.85 1 in 5768
Kansas 485 10 2.06 166.48 3.43 1 in 6007
Delaware 368 11 2.99 377.91 11.30 1 in 2646
New Hampshire 367 3 0.82 269.91 2.21 1 in 3705
New Mexico 340 5 1.47 162.15 2.38 1 in 6167
Vermont 321 16 4.98 514.43 25.64 1 in 1944
Maine 303 5 1.65 225.41 3.72 1 in 4436
Puerto Rico 286 11 3.85 89.55 3.44 1 in 11167
Hawaii 224 1 0.45 158.21 0.71 1 in 6321
Nebraska 210 4 1.90 108.56 2.07 1 in 9211
Montana 208 6 2.88 194.61 5.61 1 in 5138
West Virginia 191 1 0.52 106.87 0.56 1 in 9357
North Dakota 142 3 2.11 186.34 3.94 1 in 5367
Alaska 132 3 2.27 180.44 4.10 1 in 5542
Wyoming 130 0 0.00 224.62 0.00 1 in 4452
South Dakota 129 2 1.55 145.82 2.26 1 in 6858
Guam 77 3 3.90 464.64 18.10 1 in 2152
Virgin Islands 30 0 0.00 NA NA 1 in NA
Northern Mariana Islands 6 1 16.67 108.71 18.12 1 in 9199
Recovered 0 0 NaN NA NA 1 in NA

In Depth India Stats (State Wise Figures)

Confirmed Cases (States of India)

Detected.State Confirmed
Maharashtra 335
Kerala 265
Tamil Nadu 234
Delhi 152
Rajasthan 120
Uttar Pradesh 117
Andhra Pradesh 111
Karnataka 110
Telangana 97
Gujarat 87
Madhya Pradesh 86
Jammu and Kashmir 62
Punjab 46
Haryana 43
West Bengal 37
Bihar 24
Chandigarh 17
Assam 13
Ladakh 13
Andaman and Nicobar Islands 10
Chhattisgarh 9
Uttarakhand 7
Goa 5
Odisha 5
Himachal Pradesh 3
Puducherry 3
Jharkhand 1
Manipur 1
Mizoram 1

In Depth Italy Stats (Region Wise Figures)

Confirmed Cases and Deaths- Regions of Italy (With Fatality and Confirmation Rates)

Region HospitalizedWithSymptoms IntensiveCare HomeIsolation ActiveCases Discharged_Healed Deceased Confirmations Swabs FatalityRate ConfirmationRate
Lombardia 11927 1342 12496 25765 11415 7593 44773 121449 16.96 36.87
Emilia-Romagna 3898 359 7232 11489 1566 1732 14787 58457 11.71 25.30
Piemonte 3146 453 4871 8470 439 886 9795 30060 9.05 32.58
Veneto 1718 350 6156 8224 902 499 9625 112746 5.18 8.54
Toscana 1120 297 3015 4432 182 253 4867 36575 5.20 13.31
Marche 984 168 2304 3456 29 477 3962 12296 12.04 32.22
Liguria 1114 179 1352 2645 555 460 3660 11334 12.57 32.29
Lazio 1131 177 1450 2758 337 169 3264 35810 5.18 9.11
Campania 478 129 1369 1976 107 148 2231 15728 6.63 14.18
Puglia 637 107 1012 1756 61 129 1946 15209 6.63 12.80
P.A. Trento 345 76 1062 1483 214 173 1870 7675 9.25 24.36
Sicilia 496 72 976 1544 86 88 1718 16836 5.12 10.20
Friuli Venezia Giulia 206 60 940 1206 357 122 1685 15987 7.24 10.54
Abruzzo 342 71 798 1211 102 123 1436 9610 8.57 14.94
P.A. Bolzano 269 57 786 1112 190 116 1418 11951 8.18 11.87
Umbria 173 45 646 864 194 37 1095 9080 3.38 12.06
Sardegna 119 27 529 675 36 34 745 5501 4.56 13.54
Calabria 144 16 450 610 21 38 669 9983 5.68 6.70
Valle d’Aosta 85 27 428 540 32 59 631 1717 9.35 36.75
Basilicata 39 15 171 225 3 9 237 2262 3.80 10.48
Molise 32 8 91 131 19 10 160 1157 6.25 13.83

In Depth Canada Stats (With Province Level Figures)

Confirmed Cases and Deaths- Provinces of Canada (With Fatality Rates)

Province Confirmed Deaths FatalityRate
Quebec 4611 33 0.72
Ontario 2392 37 1.55
British Columbia 1013 24 2.37
Alberta 754 9 1.19
Saskatchewan 193 3 1.55
Newfoundland and Labrador 175 1 0.57
Nova Scotia 173 0 0.00
Manitoba 127 1 0.79
New Brunswick 81 0 0.00
Prince Edward Island 21 0 0.00
Grand Princess 13 0 0.00
Yukon 5 0 0.00
Northwest Territories 2 0 0.00
Diamond Princess 0 1 Inf
Recovered 0 0 NaN

In Depth China Stats (With Province Level Figures)

Confirmed Cases and Deaths- Provinces of China (With Fatality Rates)

Province Confirmed Deaths FatalityRate
Hubei 67802 3193 4.71
Guangdong 1501 8 0.53
Henan 1276 22 1.72
Zhejiang 1257 1 0.08
Hunan 1018 4 0.39
Anhui 990 6 0.61
Jiangxi 937 1 0.11
Shandong 774 7 0.90
Hong Kong 765 4 0.52
Jiangsu 646 0 0.00
Beijing 580 8 1.38
Chongqing 579 6 1.04
Sichuan 552 3 0.54
Shanghai 516 6 1.16
Heilongjiang 484 13 2.69
Fujian 345 1 0.29
Hebei 323 6 1.86
Shaanxi 255 3 1.18
Guangxi 254 2 0.79
Yunnan 182 2 1.10
Tianjin 176 3 1.70
Hainan 168 6 3.57
Guizhou 146 2 1.37
Liaoning 140 2 1.43
Gansu 138 2 1.45
Shanxi 137 0 0.00
Inner Mongolia 111 1 0.90
Jilin 98 1 1.02
Xinjiang 76 3 3.95
Ningxia 75 0 0.00
Macau 41 0 0.00
Qinghai 18 0 0.00
Tibet 1 0 0.00

Time Series Curves (Top 20 Countries with the Highest Cases)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most confirmed COVID-19 cases as of today in decreasing order of confirmations.

Confirmed Cases Count (Linear)

Country Wise Time Series Curve

Confirmed Cases Count (Logarithmic)

Country Wise Time Series Curve

Time Series Curves (Top 20 Countries with the Highest Cases)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most COVID-19 deaths as of today in decreasing order of confirmations.

Death Count (Linear)

Country Wise Time Series Curve

Death Count (Logarithmic)

Country Wise Time Series Curve

Epidemic Curve: Delta in the past 24 hrs (Top 20 Countries with the Highest Cases)

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various countries. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 20 countries in the world as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Delta in Confirmed Cases

Number of New Cases in the past 24 hrs

Delta in Deaths

Number of Deaths in the past 24 hrs

Measuring Outbreak Velocity: 5 Day Lagging Average Doubling Time (Top 20 Countries with the Highest Cases)

The velocity of an outbreak is determined by a construct known as doubling time. This value describes the number of days, on average, required for the number of cases to double in a given area. For our analysis we use average doubling time, which can be defined as the number of days, on average, required for the average number of COVID-19 cases to double in a given area.

This measure can describe COVID-19 behavior worldwide, in a country, or even in a smaller region such as a state. For our analysis, we will discuss average doubling time at a national level for the top 20 most affected countries.

Below, we have calculated average doubling time for several nations, on a trailing, rolling 5-day basisbased on today’s case values. A decline in average doubling time indicates that the COVID-19 outbreak (confirmation rate) is accelerating (average cases double in fewer days), while an increase of average doubling time indicates that the outbreak is slowing.

Ideally, when social distancing and lockdowns are implemented aggressively in a country and after some period of delay, doubling times should begin to increase in a matter of days, weeks, or months, depending upon the severity of the epidemic and the degree of social distancing achievable.

Given the fact that many countries across the world have already enacted or implemented social distancing measures, this is why one should be cautious not to extrapolate COVID-19 growth rates from trailing statistics.

5 Day Lagging Avg Doubling Time of Confirmations

Confirmed Cases and Deaths Per Million Population and Infection Odds

This metric confirmed cases per million population and deaths per million population shows the extent to which the disease has spread with respect to the population of the country. The metric Infection Odds shows 1 in how many people are infected with COVID-19 in the corresponding country.

For the top 20 countries with most confirmed cases excluding cruise ships

Country_Region ConfirmedCasesPerMillionPopl DeathsPerMillionPopl InfectionOdds
US 652.11 14.54 1 in 1533
Italy 1828.27 217.51 1 in 547
Spain 2231.42 201.18 1 in 448
China 59.42 2.39 1 in 16828
Germany 940.60 11.11 1 in 1063
France 862.05 60.35 1 in 1160
Iran 586.41 37.41 1 in 1705
United Kingdom 449.50 35.48 1 in 2225
Switzerland 2073.28 56.94 1 in 482
Turkey 194.02 3.43 1 in 5154
Belgium 1224.91 72.63 1 in 816
Netherlands 797.21 68.39 1 in 1254
Austria 1214.12 16.55 1 in 824
Korea, South 192.09 3.21 1 in 5206
Canada 254.32 2.90 1 in 3932
Portugal 801.85 18.17 1 in 1247
Brazil 32.66 1.15 1 in 30617
Israel 699.27 2.98 1 in 1430
Sweden 488.83 23.62 1 in 2046
Norway 905.92 8.20 1 in 1104

Data Sources: 1. Github Repos: CSSEGISandData and pcm-dpc